Build a DALL-E Image Generator using React, JavaScript and OpenAI

1. What We Are Building with DALL-E and OpenAI in This Course

This demonstration video outlines the project that we will focus on building, which is an image developer that creates realistic images and art from the description of natural language.

2. Download Node.js and Visual Studio Code for DALL-E Project Setup

In this video, we will understand how to download and install the Node.js software (version 18.13.0), set up Visual Studio Code as the text editor for the code, and create the requisite folders for the project.

3. What Is Next.js? How to Make a New Project with npx?

In this lesson, you will learn about Next.js (version 13), a framework built on React. It enables you to create full-stack applications by providing the latest React features. We will enter the project folder and use the npx command to create our Next.js app.

4. A Brief Overview of the Next.js File Boilerplate for Our DALL-E Initial Project

This video briefly overviews the Next.js file boilerplate, which will create our initial DALL-E project. We will look at all the files we downloaded, installed, and configured by creating the Next.js app.

5. Running a Development Server of Next.js for DALL-E Project

After understanding the Next.js folder structure and how it works, we will get into the image-gen-project folder we created and run the "npm run dev", which will run the project on a local development server with an endpoint.

1. Next.Js Basics for Absolute Beginners

In this video, you will learn some basics of the Next.js code to build our application using the codes we will require to run the app. You will learn to deploy the Next.js boilerplate and how to deploy the app.

2. Coding Out the Application Skeleton in TSX for DALL-E Image Generator with Text

In this lesson, you will learn about coding the application skeleton for our image generator using text with the TSX for DALL-E. We will begin with removing the import functions and we will design the app page.

3. CSS Styling and Integration for Our DALL-E OpenAI App

In this video, we will complete the CSS styling for our application page and add functionality to the page components. We will begin integrating the components for our DALL-E image generator application.

4. UX and UI Integrations into DALL-E App with CSS

Here, we will continue with the integration process of the image generator application. We will finalize the page view and functionality using CSS and integrate the user interface with the application.

1. Generating an API Key from OpenAI and Securely Storing Env Variables

This video demonstrates how to generate an API key to access DALL-E, unlock the application to make image-generating requests, and get the responses through the application program with a secure API key.

2. DALL-E Create Image Implementation into Our OpenAI Application

After securely generating the API key, we will create the runtime configuration and use the process environment API key we generated securely. We will hook the app with OpenAI and generate images using text.

3. OpenAI Key Configuration Setup with Next JS

In this lesson, you will learn to hook up the OpenAI app, using the API key to provide access and then configuring the OpenAI API by linking it to the app to generate images.

4. OpenAI Configurations and Updating DALL-E API Code

In this video, we will remove the console.log, and after completing the API key setup, we will configure the openAIAPi from OpenAI. We will set up a variable configuration, which requires the API key, and then update the code.

5. Async Await Calls to DALL-E OpenAI API in Next JS

In this lesson, you will learn to generate an index page, which Next.js requires. We will create the functionality for the app to function. We will use the "index.tsx" file and the default home function.

1. Adding Image State for Beginners with Hooks in React for DALL-E App

In this lesson, you will learn to add an image state with React hooks for our DALL-E application. After rendering the app, we can now generate our images using the application.

2. Setting API DALL-E Image Data in the Application

In this video, we will first test the image we generate, and the next step is to click on the generated image and then manipulate the state to bring the URL from the DALL-E application.

3. Dynamically Updating Image Creation with DALL-E and OpenAI

After learning how to generate images rendered through DALL-E, we will create a proper user experience where the user can type into the textbox input and generate a dynamic response.

4. Optimizing a React App with Loading for API Fetches to OpenAI DALL-E

After getting the application up and running, we will need to make changes to the app to develop a professional app for further optimizing the user experience. You will learn to add some loading functionality to the app.

1. Optimizing Leading Images with DALL-E in React with JavaScript Fundamental Al

In this lecture, we will optimize our app further, focusing on user experience. You will learn to add some animation. We will use JavaScript instead of CSS along with React, and we will use the "useEffect" hook.

2. Creating Ripple Animations with CSS for DALL-E Loading Images in React

In this video, we will work on creating ripple animations using CSS and JavaScript and create loading images in React, which we will use to display on the screen while the app is generating the image.

3. Mailing Feature to Send DALL-E Generated Pictures

In this lesson, you will learn to incorporate a mailing feature into the application to share the image generated by the app using links to the URL and mailing the links to the recipients of choice.

1. What Is GitHub and Why Does It Matter

In this video, we will examine a demonstration of the GitHub repository that stores all our application files. We will look at creating a GitHub account and logging in to create our new repositories. We will also understand the importance of using GitHub as the repository for our project files.

2. Setting Up GitHub Git Version and PAT Access with Pushes

After learning to install GitHub and adding repositories to the application, we will now work on setting up a Git version and learn to set up PAT access with pushes. We will then create a key that will provide access to the application.

3. Pushing Code to GitHub Repo DALL-E OpenAI

After creating the repository and personal access token, you will learn to push an existing repository from the command line for authentication and import code from another repository.

4. Deploying the DALL-E Project into Production with Vercel

After successfully creating our GitHub repository setup, we will collaborate with Vercel, which maintains the Next.js framework for React and offers an excellent way for us to deploy our Next.js framework to production.

1. Introduction to SCSS and Setting Up Animation Code

In this lesson, you will learn about SCSS and then learn to install and set up the animation code for our image generator application. You will learn to add parameters and filters to our animation code.

2. Working with Keyframes for Animations

After learning to create the rules or parameters for our animation codes, as an example, we will write code to create shooting stars that move left to right on our application page. We will define the keyframe parameters for our animations.

3. Finalizing Animations with SCSS For DALL-E OpenAI

In this lesson, you will learn to finalize the animations we created with SCSS for our image generator application for DALL-E, and we will deploy the animations and verify the functionality to suit the requirements of our application on DALL-E. The instructor also provides a thank-you note to conclude the course at the end.